David Chen

151 papers receiving 6.3k citations

David Chen's Hit Papers

Cost and supply considerations for antibody therapeutics 2025 · 26 citations
260+7+14Years since publication250500750

Peers

David Chen
Comparison fields: 5 of 181
  • Aging 208
  • Health Informatics 78
  • Physiology 1.1k
  • Molecular Biology 3.1k
  • Cancer Research 529
Replace Aristotelis Tsirigos with:
Aristotelis Tsirigos United States
Yang Xie United States
Shahzad I. Mian United States
Knut Liestøl Norway
Ali Torkamani United States
Christina S. Leslie United States
Zhongming Zhao United States
Jochen Utikal Germany
Hilary A. Coller United States
Colin O. Wu United States
David Chen relative to Aristotelis Tsirigos United States Aristotelis Tsirigos's profile →
Citations per field
00.5×3.3×
Aristotelis Tsirigos · 1×
Citations per year

Countries citing papers authored by David Chen

Since Specialization
Citations

This map shows the geographic impact of David Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chen more than expected).

Fields of papers citing papers by David Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Chen. The network helps show where David Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Chen Line = papers co-authored together David Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Telomere Shortening Triggers Senescence of Human Cells through a Pathway Involving ATM, p53, and p21CIP1, but Not p16INK4a
Hit paper breakdown →
2004997
2
Collecting Highly Parallel Data for Paraphrase Evaluation
Hit paper breakdown →
2011478
3 1999327
4 2012190
5 1996181
6 2001180
7 2010159
8 2019158
9 1973154
10 2001145
11 2016136
12 2004131
13 2006121
14 2020117
15 2004116
16 2014111
17 2008102
18 201498
19 201394
20 201185

About David Chen

David Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Oncology and Surgery, having authored 163 papers that have together received 6.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (15 papers), Cardiac Imaging and Diagnostics (7 papers), Semantic Web and Ontologies (6 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related Molecular Pathways (5 papers), Spinal Cord Injury Research (5 papers), Topic Modeling (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Aging (208 citations), Health Informatics (78 citations), Physiology (1.1k citations), Molecular Biology (3.1k citations) and Cancer Research (529 citations). David Chen has collaborated with scholars based in United States, Canada and France. Frequent co-authors include William B. Dolan, Utz Herbig, John M. Sedivy, Benjamin P.C. Chen, Gloria C. Li, Akihiro Kurimasa, Steven M. Yannone, Y. P. Chang, Sara Sarid and Tibor Pankotai. Their work appears in journals such as Journal of Clinical Oncology, Archives of Physical Medicine and Rehabilitation, Magnetic Resonance in Medicine, Proceedings of the National Academy of Sciences and Urology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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